Instructions to use GenomaLabs-com/KALYPSO-v1.1L-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use GenomaLabs-com/KALYPSO-v1.1L-merged with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="GenomaLabs-com/KALYPSO-v1.1L-merged")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("GenomaLabs-com/KALYPSO-v1.1L-merged")
model = AutoModelForCausalLM.from_pretrained("GenomaLabs-com/KALYPSO-v1.1L-merged")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use GenomaLabs-com/KALYPSO-v1.1L-merged with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "GenomaLabs-com/KALYPSO-v1.1L-merged"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GenomaLabs-com/KALYPSO-v1.1L-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/GenomaLabs-com/KALYPSO-v1.1L-merged

SGLang

How to use GenomaLabs-com/KALYPSO-v1.1L-merged with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "GenomaLabs-com/KALYPSO-v1.1L-merged" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GenomaLabs-com/KALYPSO-v1.1L-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "GenomaLabs-com/KALYPSO-v1.1L-merged" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GenomaLabs-com/KALYPSO-v1.1L-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use GenomaLabs-com/KALYPSO-v1.1L-merged with Docker Model Runner:
```
docker model run hf.co/GenomaLabs-com/KALYPSO-v1.1L-merged
```

KALYPSO v1.1L (merged)

KALYPSO v1.1L is a code-generation model from GENOMA Labs, produced by merging a LoRA adapter into Qwen2.5-Coder-14B-Instruct (Apache-2.0). It is the public member of the KALYPSO line; the internal RL- and robotics-specialized variants are not released.

Base: Qwen/Qwen2.5-Coder-14B-Instruct (Apache-2.0)
Architecture: Qwen2, 14.8B parameters, fp16, 6-shard safetensors (self-contained — no adapter needed)
Use: general code generation / completion / reasoning; OpenAI-compatible chat
Serving: vLLM / TGI / Ollama. A 48 GB GPU (A40 / A6000) serves fp16 comfortably with KV headroom.

Honest performance note

v1.1L benchmarks approximately at the Qwen2.5-Coder-14B base — the merge does not materially lift HumanEval / MBPP over the base model. The value of this release is the open, reproducible pipeline and GENOMA's RL-coding dataset methodology, not a leaderboard delta. Evaluate it as a clean, well-served 14B coder, not as a frontier model.

Attribution

Built on Qwen2.5-Coder-14B-Instruct (© Alibaba / Qwen team, Apache-2.0). This derivative is released under Apache-2.0; the base model's license and notices are retained.

About GENOMA Labs

GENOMA Labs builds machine reasoning and perception for heavy equipment, robotic arms, and field robotics. KALYPSO is the coding-assistant line that supports that work.

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Safetensors

Model size

15B params

Tensor type

F16

Model tree for GenomaLabs-com/KALYPSO-v1.1L-merged

Base model

Qwen/Qwen2.5-14B

Finetuned

Qwen/Qwen2.5-Coder-14B

Finetuned

Qwen/Qwen2.5-Coder-14B-Instruct

Finetuned

(117)

this model